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Yu (Hope) Hou
commited on
Commit
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687204e
1
Parent(s):
e0cfc07
update leaderboard info
Browse files- src/about.py +7 -33
src/about.py
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@@ -21,50 +21,24 @@ NUM_FEWSHOT = 0 # Change with your few shot
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# Your leaderboard name
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TITLE = """<h1 align="center" id="space-title">
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# What does your leaderboard evaluate?
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INTRODUCTION_TEXT = """
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"""
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# Which evaluations are you running? how can people reproduce what you have?
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LLM_BENCHMARKS_TEXT = f"""
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##
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## Reproducibility
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To reproduce our results, here is the commands you can run:
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"""
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EVALUATION_QUEUE_TEXT = """
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### 1) Make sure you can load your model and tokenizer using AutoClasses:
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```python
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from transformers import AutoConfig, AutoModel, AutoTokenizer
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config = AutoConfig.from_pretrained("your model name", revision=revision)
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model = AutoModel.from_pretrained("your model name", revision=revision)
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tokenizer = AutoTokenizer.from_pretrained("your model name", revision=revision)
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```
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If this step fails, follow the error messages to debug your model before submitting it. It's likely your model has been improperly uploaded.
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Note: make sure your model is public!
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Note: if your model needs `use_remote_code=True`, we do not support this option yet but we are working on adding it, stay posted!
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### 2) Convert your model weights to [safetensors](https://huggingface.co/docs/safetensors/index)
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It's a new format for storing weights which is safer and faster to load and use. It will also allow us to add the number of parameters of your model to the `Extended Viewer`!
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### 3) Make sure your model has an open license!
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This is a leaderboard for Open LLMs, and we'd love for as many people as possible to know they can use your model 🤗
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### 4) Fill up your model card
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When we add extra information about models to the leaderboard, it will be automatically taken from the model card
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## In case of model failure
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If your model is displayed in the `FAILED` category, its execution stopped.
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Make sure you have followed the above steps first.
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If everything is done, check you can launch the EleutherAIHarness on your model locally, using the above command without modifications (you can add `--limit` to limit the number of examples per task).
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"""
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CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
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# Your leaderboard name
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TITLE = """<h1 align="center" id="space-title">Grounded QA leaderboard</h1>"""
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# What does your leaderboard evaluate?
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INTRODUCTION_TEXT = """
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Open-domain QA system that can answer any question posed by humans! For more: https://sites.google.com/view/qanta/home
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"""
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# Which evaluations are you running? how can people reproduce what you have?
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LLM_BENCHMARKS_TEXT = f"""
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## Generative QA
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If you are working on a generative QA model, you are expected to submit your system by filling the `Model name`.
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## Extractive QA
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If you are working on a generative QA model, you are expected to submit your QA system by filling the `Model name` and your retriever in `Base model`.
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"""
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EVALUATION_QUEUE_TEXT = """
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We have the generative QA tutorial [here](https://docs.google.com/document/d/1ZwyEnrF7OjkDdNpEsiSU1RPEilepAmmFJZgVypzm9Es)!
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"""
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CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
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